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Forward Deployed Engineer

Arbol • Financial Services • Predictive Analytics • Python • SQL • 4 days ago
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Salary
$120k – $140k per year
Location
Remote (United States)

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match

Arbol

Arbol builds parametric climate insurance priced by machine learning models over weather and satellite data. Founded in 2018 in New York, it pays claims automatically when measured conditions cross a threshold. Farmers, energy firms and event organisers use it to hedge weather risk.
arbol.io • HQ: New York, United States • Financial Data & Market Intelligence • Property & Casualty Insurance • 51-200 employees • Est. 2018
Tech stack of Arbol
Backed by Space Capital, Giant Ventures

What You'll Be Doing

  • Embed with internal teams and partners to scope messy, loosely defined problems and turn them into structured PRDs and working software

  • Build and maintain internal tools, including pricing and decision engines, data apps, and AI-powered workflows

  • Write the SQL and Python behind analyses, dashboards, and monitoring that leadership uses to make decisions

  • Integrate third-party models, APIs, and data sources into our systems, and handle the mapping, transformation, and validation they need

  • Prototype quickly in notebooks and scripts, then harden what works into reliable, tested production systems

What You'll Need

  • Experience working with the product lifestyle, from PRD creation to implementation

  • Solid engineering skills in Python

  • Strong understanding of data systems: SQL, schemas, indexing, partitioning, and performance tradeoffs

  • Comfort with statistical concepts relevant to model evaluation, or experience interpreting metrics and distributions

What's Great to Have

  • Familiarity with pipeline tooling (Airflow/Dagster/Prefect), queues (Kafka/SQS/PubSub), and common data formats (Parquet/JSON)

  • Familiarity with cloud infrastructure (AWS/GCP/Azure), containers, CI/CD, and basic DevOps hygiene

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